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Abstract. The analysis of surface latent heat flux (SLHF) from the epicentral regions of five recent earthquakes that occurred in close proximity to the oceans has been found to show anomalous behavior. The maximum increase of SLHF is found 2–7 days prior to the main earthquake event. This increase is likely due to an ocean-land-atmosphere interaction. The increase of SLHF prior to the main earthquake event is attributed to the increase in infrared thermal (IR) temperature in the epicentral and surrounding region. The anomalous increase in SLHF shows great potential in providing early warning of a disastrous earthquake, provided that there is a better understanding of the background noise due to the tides and monsoon in surface latent heat flux. Efforts have been made to understand the level of background noise in the epicentral regions of the five earthquakes considered in the present paper. A comparison of SLHF from the epicentral regions over the coastal earthquakes and the earthquakes that occurred far away from the coast has been made and it has been found that the anomalous behavior of SLHF prior to the main earthquake event is only associated with the coastal earthquakes.

Tropical cyclone track forecasting -- Tropical cyclones: effect on the ionosphere -- Typhoon and sea surface cooling -- Indian cyclones and earthquakes: their impact on structures -- Alert systems in natural hazards: best practices -- Tropical cyclone activities: Asia Pacific Region -- Desertification: causes and effects -- Drought forecasting: articifial intelligence methods -- Estimating CO2 emissions from subsurface coal fires -- Spatial analysis of flood causes in the Hindu Kush Region -- Integrated approach for flood assessment for coastal urban watersheds -- Lightning -- Natural hazards in Poland.

Abstract. Wavelet maxima curves of surface latent heat flux (SLHF) have been recently used to provide early warning information about coastal earthquakes. The present paper reports further validations of the spatial and temporal analysis of wavelet maxima curves associated with earthquakes occurred in different parts of the Indian sub-continent. Prominent anomalies that exhibit spatial and temporal continuity are found in case of coastal earthquakes, while no anomaly is detected in case of intraplate earthquakes. The precursory SLHF anomalies are found up to 2 weeks prior to the main earthquake event, with an extent area of up to 600km.

Abstract. Multi sensor data available through remote sensing satellites provide information about changes in the state of the oceans, land and atmosphere. Recent studies have shown anomalous changes in oceans, land, atmospheric and ionospheric parameters prior to earthquakes events. This paper introduces an innovative data mining technique to identify precursory signals associated with earthquakes. The proposed methodology is a multi strategy approach which employs one dimensional wavelet transformations to identify singularities in the data, and an analysis of the continuity of the wavelet maxima in time and space to identify the singularities associated with earthquakes. The proposed methodology has been employed using Surface Latent Heat Flux (SLHF) data to study the earthquakes which occurred on 14 August 2003 and on 1 March 2004 in Greece. A single prominent SLHF anomaly has been found about two weeks prior to each of the earthquakes.